2 papers
cs.LG2026
Know When You're Wrong: Aligning Confidence with Correctness for LLM Error Detection
Xie Xiaohu, Liu Xiaohu, Yao Benjamin
As large language models (LLMs) are increasingly deployed in critical decision-making systems, the lack of reliable methods to measure their uncertainty presents a fundamental trus…
cs.IR2024
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar +2
Using tools by Large Language Models (LLMs) is a promising avenue to extend their reach beyond language or conversational settings. The number of tools can scale to thousands as th…